Schwartz Nehemia, Stone Lewi
Biomathematics Unit, Department of Zoology, Faculty of Life Science, Tel Aviv University, Israel.
Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Apr;87(4):042815. doi: 10.1103/PhysRevE.87.042815. Epub 2013 Apr 26.
A methodology is formulated for studying the effects of network structure on the dynamics and spread of an epidemic. We study the well known SIS (susceptible-infected-susceptible) epidemic model and introduce exact moment equations relevant for any network connections. The equations take into account all possible 2^{N} states of the network and the specific topology of the network at hand. For the star topology we are able to calculate the threshold value analytically, and also the proportion of infected individuals at steady state for any parameters. Our analytical results are verified with computer simulations. This study of epidemic dynamics on the star network evaluates both the threshold as well as the stability properties of the model's steady state.
一种用于研究网络结构对流行病动态和传播影响的方法被制定出来。我们研究了著名的SIS(易感-感染-易感)流行病模型,并引入了与任何网络连接相关的精确矩方程。这些方程考虑了网络的所有可能的2^N种状态以及手头网络的特定拓扑结构。对于星型拓扑结构,我们能够解析地计算阈值,以及任何参数下稳态时感染个体的比例。我们的分析结果通过计算机模拟得到了验证。对星型网络上流行病动态的这项研究评估了模型稳态的阈值以及稳定性特性。